With the accelerated development of globalization,cross-border e-commerce market shows a booming trend.In this context,the traditional operation mode has been difficult to meet the rapid changes and diversified needs of the cross-border market.At present,the data obtained by cross-border e-commerce are enough to solve the internal management process and department needs.However,due to the dispersion and use value of data,the data information between different departments cannot be effectively communicated,resulting in a large number of value data forming barriers.The resulting operational differences cannot fully peel away the data to observe the expression dilemma behind it,resulting in a difference gap.It is impossible to form an accurate,personalized and logical operation mechanism.The cross-border e-commerce market is highly complex and changeable.Single case studies can have a deep insight into the market status quo in a specific context,accurately capture and explain the operation behavior in a specific environment under situational sensitivity to reveal its causal relationship,enhance the persuasive power of research by collecting and analyzing detailed empirical data,and make flexible and adaptive adjustments in the face of new problems of research objects in the research process.Therefore,taking brand F as an example,this paper integrates first-hand and second-hand research materials,including internal documents,interview records,observation notes,etc.,analyzes the collaborative relationship between the research object and the research target through the single-case study method,analyzes its potential operation rules based on the data-product-data theory,and reveals the operation mechanism logic from the data-driven perspective.By grafting data technology and application,the study reveals the realization mode of innovative operation mechanism with"data value discovery-data value creation-data value realization"as the research paradigm,realizing the interaction and cooperation of design end,production end and marketing end,and integrating value chain links to promote the reconstruction of industrial chain.The construction of an ecological operation mechanism can gradually focus on trend benefits,maximize their benefits,optimize the coordination degree between vertical supply chain resources and supply departments,improve product attribute labels,strengthen consumer search accuracy,improve consumer satisfaction and audience stickness,avoid data stacking and functional limitations,maximize information value and eliminate idle data and functions in time.In the future,it is necessary to improve the extrapolation of research and the applicability to the global market by expanding the sample size and incorporating more consumer groups with multicultural backgrounds.In terms of technology iteration and follow-up,the latest data technologies and operational tools can be continuously followed up and incorporated to more fully explore the potential and application of products.For the research on shortening cultural differences,cross-cultural perspective research can be strengthened to deeply analyze the influence of different cultures on consumer behavior preferences,so as to optimize cross-cultural operation strategies.In terms of data management and analysis technology innovation,it is necessary to explore advanced data management and analysis technology to deal with more complex data types and improve the accuracy and efficiency of data analysis.
digital technologycross-border e-commerceoperation mechanismdata processingdata managementdata-driven